Shaowei Lan
Impact in
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- Mesenchymal stem cell research
- Urology top 10%
- Hair Growth and Disorders
Papers in
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- Cancer therapeutics and mechanisms 3
- Ubiquitin and proteasome pathways 1
- Oncology 7
- Lung Cancer Research Studies 4
- Co-authors
- Chun‐Jung Ko (7 shared papers)Ming‐Shyue Lee (7 shared papers)Hsin-Ying Lin (6 shared papers)Hsiang–Po Huang (5 shared papers)Pei‐Wen Hsiao (4 shared papers)Cheng-Chung Huang (2 shared papers)Chia‐Tung Shun (1 shared paper)Chunling Wu (4 shared papers)
- Journals
- Translational Lung Cancer Research (2 papers)Cancer Research (2 papers)Oncogene (2 papers)Briefings in Bioinformatics (1 paper)Polymer Chemistry (1 paper)
- Partner nations
- ChinaTaiwanUnited States
In The Last Decade
Shaowei Lan
22 papers receiving 387 citations
Peers
Comparison fields: 5 of 76
- Genetics 58
- Urology 24
- Cancer Research 47
- Rehabilitation 20
- Immunology and Allergy 18
Countries citing papers authored by Shaowei Lan
This map shows the geographic impact of Shaowei Lan's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Shaowei Lan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shaowei Lan more than expected).
Fields of papers citing papers by Shaowei Lan
This network shows the impact of papers produced by Shaowei Lan. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Shaowei Lan. The network helps show where Shaowei Lan may publish in the future.
Co-authors
The 25 scholars most cited alongside Shaowei Lan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 120 | |
| 2 | 2015 | 50 | |
| 3 | 2020 | 36 | |
| 4 | 2018 | 23 | |
| 5 | 2021 | 23 | |
| 6 | 2015 | 19 | |
| 7 | 2014 | 19 | |
| 8 | 2017 | 16 | |
| 9 | 2019 | 13 | |
| 10 | 2015 | 12 | |
| 11 | 2022 | 11 | |
| 12 | 2015 | 10 | |
| 13 | 2022 | 9 | |
| 14 | 2021 | 8 | |
| 15 | 2020 | 7 | |
| 16 | 2024 | 3 | |
| 17 | 2024 | 3 | |
| 18 | 2023 | 2 | |
| 19 | 2025 | 2 | |
| 20 | 2022 | 2 |
About Shaowei Lan
Shaowei Lan is a scholar working on Molecular Biology, Oncology, Pulmonary and Respiratory Medicine, Immunology and Allergy and Genetics, having authored 22 papers that have together received 390 indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (5 papers), Lung Cancer Research Studies (4 papers), Cell Adhesion Molecules Research (4 papers), Cancer therapeutics and mechanisms (3 papers), Mesenchymal stem cell research (3 papers), Liver physiology and pathology (2 papers), Ubiquitin and proteasome pathways (1 paper) and Cancer Genomics and Diagnostics (1 paper). The work is most often cited by research in Genetics (58 citations), Urology (24 citations), Cancer Research (47 citations), Rehabilitation (20 citations) and Immunology and Allergy (18 citations). Shaowei Lan has collaborated with scholars based in China, Taiwan and United States. Frequent co-authors include Chun‐Jung Ko, Ming‐Shyue Lee, Hsin-Ying Lin, Hsiang–Po Huang, Pei‐Wen Hsiao, Cheng-Chung Huang, Chia‐Tung Shun, Chunling Wu, Pengdong Li and Feilin Liu. Their work appears in journals such as Translational Lung Cancer Research, Cancer Research, Oncogene, Briefings in Bioinformatics and Polymer Chemistry.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.